AI-native GCC & transformation partner
Deliver more with fewer people. Build durable capability.
ProductSquads is an AI-native engineering, workflow-transformation and GCC partner. We combine Cyborg Teams, native AI capabilities and GCC-as-a-Platform to reduce manual workload, accelerate delivery and build durable, long-term capability.
Cyborg Teams·Workflow transformation·GCC-as-a-Platform
The operating modelONE SYSTEM
A capability system —powered by native AI
6 → 10
6-person Cyborg Team ≈ 10-person scrum output
170 → 40
Manual roles reshaped into Python, AI & analyst roles
$900M → $2.5B+
PE-backed client growth supported over ~3 years
~300%
Velocity gains within the first 3 months
Capability across the full delivery surface
Product & AI EngineeringData EngineeringQA & Test AutomationAI & Workflow AutomationPlatform / DevOps / InfraSupport & Data Operations
Cyborg Teams·AI-Led Workflow Transformation·Data Operations·GCC-as-a-Platform·Product Engineering·QA Modernization·AI Automation·Platform Ownership·
What we do
Three models that improve the system — not just staff it.
01 · Delivery Model
Cyborg Teams
A small, senior, high-accountability human team augmented by AI agents and AI-assisted workflows. Fewer people, more seniority, lower coordination overhead, stronger ownership and better economics.
AI Level L2+AI-augmentedOutcome-driven
02 · Transformation
AI-Led Workflow & Data Ops
We don't just run an existing process more cheaply — we ask whether it should exist in that form at all. AI-led orchestration, automation and process redesign turn manual, data-heavy operations into higher-value work.
DataOpsFinOpsHuman-in-the-loop
03 · Operating Model
GCC-as-a-Platform
The benefits of a GCC — dedicated leaders, pods, governance and continuity — without building a captive centre from scratch. Backed by shared platform scale, reusable playbooks and AI-native delivery maturity.
Dedicated podsShared scaleDay-one maturity
The problem we solve
The future belongs to companies with intelligent engineering systems. We're here to build them.
01
Transactional vendor models
Vendors optimise for utilisation and billing rather than outcomes. Customers get activity — but no ownership, thought leadership or expertise.
02
Bloated teams & inefficient cost
Large teams carry too much coordination overhead and too little leverage. Incentives to prolong the work bloat the cost structure.
03
Manual data & operational workflows
Large operations teams remain dependent on manual data entry, repetitive curation, reconciliation and fragmented workflow handling.
04
Weak capability building
Customers get task execution but not stronger engineering or product capability that compounds over time.
05
Difficulty scaling a GCC
Leaders want GCC-like benefits, but building one from scratch is slow, expensive and risky.
We improve the system itself.
Not by inserting more people — by redesigning the work, the operating model and the AI leverage behind it.
Representative transformation
$900M → $2.5B+
A private-equity-backed company grew from roughly USD 900M to roughly USD 2.5B+ over about three years, with ProductSquads serving as an important part of the AI engineering backbone through that growth phase. Our contribution was capability and value creation — not just execution capacity.
Strategy & process improvement
Replacing non-performing vendors
Modernising the data ecosystem
Enabling AI-native engineering
Strengthening leadership & talent depth
Elevating architecture maturity
Workforce redesign in practice
From 170 manual roles to ~40 higher-value roles.
Before
~170
manual data-entry & curation roles — high manual effort, fragmented tools, repetitive exception handling, overloaded operational teams.
→
After
~40
Python, AI & analyst-oriented roles — lower manual effort, improved speed and scale, stronger quality control, better cost efficiency and a future-ready workforce mix.
We don't only help with staffing or ticket delivery. We help with workforce redesign, process modernisation, AI enablement and long-term operating leverage — relevant to CTOs, COOs, CPOs, finance and business leaders alike.
The AI layer
AI as part of the operating model — not an add-on tool.
Praveg AI is the agent layer embedded across every Cyborg Team — applying AI leverage throughout delivery and workflow so a leaner, more senior team consistently outperforms a larger conventional one.
For customers
Fewer people, faster decisions, stronger quality control and better economics.
For engineers
A modern AI-native toolkit, higher-impact work and a stronger career story.
Team Structure
From your first AI team to enterprise-scale engineering.
Start with a focused engineering team, expand through AI-powered delivery pods, and scale into enterprise-wide capability or a Global Capability Center. Every stage is built to increase speed, quality, and business impact.
AI Engineering Pod
Dedicated cross-functional team for MVPs, product enhancements, AI initiatives, and rapid feature delivery. A focused engineering capability that delivers strategic outcomes while laying the foundation for long-term transformation.
Cyborg TeamFLAGSHIP
AI-powered engineers working alongside intelligent AI agents to accelerate development, testing, and delivery.
Multi-Pod Delivery
Multiple specialized pods driving engineering, data, AI, QA, and platform initiatives in parallel.
GCC Enablement
Build and scale AI-native Global Capability Centers with dedicated leadership, governance, and engineering excellence.
Commercial philosophy
Outcome-driven partnerships. Built for measurable business impact.
Our engagement model is designed around the outcomes you want to achieve — not the hours you consume. We align our teams with your business goals, taking ownership of delivery, quality, and continuous improvement to create long-term value.
By combining AI-native engineering, intelligent automation, and accountable delivery, we help organizations accelerate innovation, improve productivity, and achieve predictable business outcomes at every stage of growth.
Traditional effort-based billing
✕ Paying for hours instead of outcomes
✕ Productivity limited by team size
✕ Unpredictable costs and delivery timelines
ProductSquads productivity model
✓ AI-powered engineering teams
✓ Faster delivery with predictable execution
✓ Higher productivity through AI-native workflows
Typical business impact~40–50% advantage
Where we fit best
Built for data-intensive businesses seeking transformation — not just staffing.
Core focus
Information services businesses
Data-driven organisations where large teams remain tied up in intake, validation, curation and rule-based workflows.
Core focus
PE-backed companies
Investment-backed businesses that need operating leverage, delivery maturity, increased valuation and stronger positioning during due diligence — across the entire hold period.
Strong fit
Data-centric businesses
Organisations where data quality, workflow speed and AI readiness directly affect operating performance.
Strong fit
Software & platform-led businesses
Product companies that need durable engineering capability, faster roadmap delivery and AI-native execution.
Strong fit
Transformation-seeking teams
Leaders who want capability building and operating-model improvement — not another commodity staffing arrangement.
Stakeholders
CTO · COO · CPO · Finance
Technical leverage, operational efficiency, faster product support and predictable, outcome-aligned cost.
Operating rhythm & governance
The operating rhythm PE-backed businesses run on.
Institutional governance and a disciplined cadence — built for boards, sponsors and portfolio leaders who need visibility, predictability and accountable delivery across the hold period.
Operating cadence
Monthly and quarterly SteerCo, bi-weekly delivery reviews and periodic business reviews — plus participation in your strategy meetings, with 24/7 coverage where relevant.
Monthly Operating Books
A monthly operating book for every engagement — throughput, delivery, spend and outcomes in one governed report, ready for board and sponsor reviews.
Testimonials
Trusted by leaders building the next generation of AI-native enterprises.
“ProductSquads became an extension of our engineering leadership. Their AI-native approach and Cyborg Team model accelerated delivery while improving quality and ownership across our product organization. The impact was visible from the very first sprint.”
Jason Handy
Chief Transformation Officer · Fortune 500 Enterprise
“The AI-powered data platform ProductSquads delivered transformed how our research teams access and utilize information. Their technical expertise, execution quality, and understanding of enterprise AI exceeded our expectations.”
Amy Gleason
SVP, Research & Content Development · Media & Publishing
“After evaluating multiple AI engineering partners, ProductSquads stood out for their execution capability and engineering excellence. Their agentic AI solutions didn't just improve one workflow—they elevated the way our engineering organization operates.”
Ali Nizameddine
VP, AI Engineering · Technology Scale-up
“ProductSquads delivered more than an AI solution. They established the governance, security, and compliance framework required for enterprise-scale adoption, giving our leadership complete confidence in the platform.”
Robert Barnes
Director, Security, Trust & AI Risk · Financial Services
Start your AI engineering journey
Build faster. Scale smarter. Deliver more.
Partner with ProductSquads to accelerate AI adoption, modernize engineering, and build high-performing teams that deliver measurable business outcomes through AI-native engineering.
